{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Benjamin Bagozzi\Dropbox\International Environmental Politics\Diplomacy Malaria\Replication Files\Table_A19.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 7 Jan 2021, 11:09:31
{txt}
{com}. 
. ******************************************************
. ******************Table A.19 Results******************
. ******************************************************
. 
. *Pooled model
. nbreg dr_1_at_2_m malaria_2m_obsonly Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12
{txt}note: t2 omitted because of collinearity
note: t3 omitted because of collinearity
note: t4 omitted because of collinearity
note: t6 omitted because of collinearity
note: t7 omitted because of collinearity
note: t9 omitted because of collinearity
note: t10 omitted because of collinearity
note: t11 omitted because of collinearity
note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1435.0924}  
Iteration 1:{space 3}log likelihood = {res:-1435.0832}  
Iteration 2:{space 3}log likelihood = {res:-1435.0832}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1621.2315}  
Iteration 1:{space 3}log likelihood = {res:-1557.1866}  
Iteration 2:{space 3}log likelihood = {res:-1541.7351}  
Iteration 3:{space 3}log likelihood = {res:-1541.7346}  
Iteration 4:{space 3}log likelihood = {res:-1541.7346}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1421.2197}  
Iteration 1:{space 3}log likelihood = {res:-1344.2555}  
Iteration 2:{space 3}log likelihood = {res:-1297.5078}  
Iteration 3:{space 3}log likelihood = {res:-1293.4935}  
Iteration 4:{space 3}log likelihood = {res:-1293.4475}  
Iteration 5:{space 3}log likelihood = {res:-1293.4475}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       331
{txt}{col 49}LR chi2({res}9{txt}){col 67}= {res}    496.57
{txt}{col 1}Dispersion{col 16}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1293.4475{txt}{col 49}Pseudo R2{col 67}= {res}    0.1610

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
malaria_2m_obsonly {c |}{col 20}{res}{space 2}-.1481687{col 32}{space 2} .0670986{col 43}{space 1}   -2.21{col 52}{space 3}0.027{col 60}{space 4}-.2796796{col 73}{space 3}-.0166578
{txt}{space 1}Lcid_per_trop_2_m {c |}{col 20}{res}{space 2}  .149704{col 32}{space 2} .0575113{col 43}{space 1}    2.60{col 52}{space 3}0.009{col 60}{space 4} .0369838{col 73}{space 3} .2624241
{txt}{space 6}Llog_trade_m {c |}{col 20}{res}{space 2} .0007402{col 32}{space 2} .0000975{col 43}{space 1}    7.59{col 52}{space 3}0.000{col 60}{space 4} .0005491{col 73}{space 3} .0009314
{txt}{space 4}Llog_gdppc_2_m {c |}{col 20}{res}{space 2} .0373003{col 32}{space 2} .0262577{col 43}{space 1}    1.42{col 52}{space 3}0.155{col 60}{space 4}-.0141639{col 73}{space 3} .0887645
{txt}{space 6}Lln_cinc_2_m {c |}{col 20}{res}{space 2} .1306958{col 32}{space 2} .0163053{col 43}{space 1}    8.02{col 52}{space 3}0.000{col 60}{space 4} .0987379{col 73}{space 3} .1626536
{txt}{space 4}Ldemocracy_2_m {c |}{col 20}{res}{space 2}-.0610655{col 32}{space 2} .0442592{col 43}{space 1}   -1.38{col 52}{space 3}0.168{col 60}{space 4} -.147812{col 73}{space 3} .0256809
{txt}{space 3}Llog_distance_m {c |}{col 20}{res}{space 2}-.2491236{col 32}{space 2}  .056559{col 43}{space 1}   -4.40{col 52}{space 3}0.000{col 60}{space 4}-.3599773{col 73}{space 3}-.1382699
{txt}{space 16}t2 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t3 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t4 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t5 {c |}{col 20}{res}{space 2} .1646011{col 32}{space 2} .0599581{col 43}{space 1}    2.75{col 52}{space 3}0.006{col 60}{space 4} .0470853{col 73}{space 3} .2821169
{txt}{space 16}t6 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t7 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t8 {c |}{col 20}{res}{space 2} .4242659{col 32}{space 2} .0349269{col 43}{space 1}   12.15{col 52}{space 3}0.000{col 60}{space 4} .3558104{col 73}{space 3} .4927215
{txt}{space 16}t9 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}t10 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}t11 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}t12 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 13}_cons {c |}{col 20}{res}{space 2} 5.439222{col 32}{space 2} .5295032{col 43}{space 1}   10.27{col 52}{space 3}0.000{col 60}{space 4} 4.401414{col 73}{space 3} 6.477029
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /lnalpha {c |}{col 20}{res}{space 2}-3.005045{col 32}{space 2} .1261203{col 60}{space 4}-3.252236{col 73}{space 3}-2.757854
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             alpha {c |}{col 20}{res}{space 2} .0495365{col 32}{space 2} .0062476{col 60}{space 4} .0386876{col 73}{space 3} .0634277
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of alpha=0: {help j_chibar##|_new:chibar2(01) = }{res}283.27{col 56}{txt}Prob >= chibar2 = {res}0.000
{txt}
{com}. 
. *Pooled (clustered se's) model
. nbreg dr_1_at_2_m malaria_2m_obsonly Lcid_per_trop_2_m Llog_trade_m  Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, cluster(cowcode_2)
{txt}note: t2 omitted because of collinearity
note: t3 omitted because of collinearity
note: t4 omitted because of collinearity
note: t6 omitted because of collinearity
note: t7 omitted because of collinearity
note: t9 omitted because of collinearity
note: t10 omitted because of collinearity
note: t11 omitted because of collinearity
note: t12 omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1435.0924}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1435.0832}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1435.0832}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1621.2315}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1557.1866}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1541.7351}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1541.7346}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1541.7346}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1421.2197}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1344.2555}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1297.5078}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1293.4935}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1293.4475}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1293.4475}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       331
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}   1040.50
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1293.4475{txt}{col 49}Pseudo R2{col 67}= {res}    0.1610

{txt}{ralign 84:(Std. Err. adjusted for {res:125} clusters in cowcode_2)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
malaria_2m_obsonly {c |}{col 20}{res}{space 2}-.1481687{col 32}{space 2} .0732773{col 43}{space 1}   -2.02{col 52}{space 3}0.043{col 60}{space 4}-.2917896{col 73}{space 3}-.0045478
{txt}{space 1}Lcid_per_trop_2_m {c |}{col 20}{res}{space 2}  .149704{col 32}{space 2} .0766352{col 43}{space 1}    1.95{col 52}{space 3}0.051{col 60}{space 4}-.0004982{col 73}{space 3} .2999061
{txt}{space 6}Llog_trade_m {c |}{col 20}{res}{space 2} .0007402{col 32}{space 2} .0001168{col 43}{space 1}    6.34{col 52}{space 3}0.000{col 60}{space 4} .0005113{col 73}{space 3} .0009691
{txt}{space 4}Llog_gdppc_2_m {c |}{col 20}{res}{space 2} .0373003{col 32}{space 2} .0260728{col 43}{space 1}    1.43{col 52}{space 3}0.153{col 60}{space 4}-.0138014{col 73}{space 3}  .088402
{txt}{space 6}Lln_cinc_2_m {c |}{col 20}{res}{space 2} .1306958{col 32}{space 2} .0186796{col 43}{space 1}    7.00{col 52}{space 3}0.000{col 60}{space 4} .0940845{col 73}{space 3}  .167307
{txt}{space 4}Ldemocracy_2_m {c |}{col 20}{res}{space 2}-.0610655{col 32}{space 2} .0425244{col 43}{space 1}   -1.44{col 52}{space 3}0.151{col 60}{space 4}-.1444119{col 73}{space 3} .0222808
{txt}{space 3}Llog_distance_m {c |}{col 20}{res}{space 2}-.2491236{col 32}{space 2} .0665945{col 43}{space 1}   -3.74{col 52}{space 3}0.000{col 60}{space 4}-.3796465{col 73}{space 3}-.1186007
{txt}{space 16}t2 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t3 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t4 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t5 {c |}{col 20}{res}{space 2} .1646011{col 32}{space 2} .0596036{col 43}{space 1}    2.76{col 52}{space 3}0.006{col 60}{space 4} .0477801{col 73}{space 3} .2814221
{txt}{space 16}t6 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t7 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t8 {c |}{col 20}{res}{space 2} .4242659{col 32}{space 2} .0339506{col 43}{space 1}   12.50{col 52}{space 3}0.000{col 60}{space 4}  .357724{col 73}{space 3} .4908079
{txt}{space 16}t9 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}t10 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}t11 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}t12 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 13}_cons {c |}{col 20}{res}{space 2} 5.439222{col 32}{space 2} .5729181{col 43}{space 1}    9.49{col 52}{space 3}0.000{col 60}{space 4} 4.316323{col 73}{space 3} 6.562121
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /lnalpha {c |}{col 20}{res}{space 2}-3.005045{col 32}{space 2} .2015761{col 60}{space 4}-3.400127{col 73}{space 3}-2.609963
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             alpha {c |}{col 20}{res}{space 2} .0495365{col 32}{space 2} .0099854{col 60}{space 4}  .033369{col 73}{space 3} .0735373
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Fixed effects model
. xtnbreg dr_1_at_2_m malaria_2m_obsonly Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, fe
{txt}note: 7 groups (7 obs) dropped because of only one obs per group
note: t2 omitted because of collinearity
note: t3 omitted because of collinearity
note: t4 omitted because of collinearity
note: t6 omitted because of collinearity
note: t7 omitted because of collinearity
note: t9 omitted because of collinearity
note: t10 omitted because of collinearity
note: t11 omitted because of collinearity
note: t12 omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-730.81204}  
Iteration 1:{space 3}log likelihood = {res:-727.07014}  
Iteration 2:{space 3}log likelihood = {res:-726.46629}  
Iteration 3:{space 3}log likelihood = {res:-726.46494}  
Iteration 4:{space 3}log likelihood = {res:-726.46494}  
{res}
{txt}Conditional FE negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       328
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       120

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         2
{txt}{col 63}avg{col 67}={col 69}{res}       2.7
{txt}{col 63}max{col 67}={col 69}{res}         3

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   422.19
{txt}Log likelihood  = {res}-726.46494{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
malaria_2m_obsonly {c |}{col 20}{res}{space 2}-.1369735{col 32}{space 2} .1400449{col 43}{space 1}   -0.98{col 52}{space 3}0.328{col 60}{space 4}-.4114564{col 73}{space 3} .1375094
{txt}{space 6}Llog_trade_m {c |}{col 20}{res}{space 2} .0006767{col 32}{space 2} .0002071{col 43}{space 1}    3.27{col 52}{space 3}0.001{col 60}{space 4} .0002708{col 73}{space 3} .0010827
{txt}{space 4}Llog_gdppc_2_m {c |}{col 20}{res}{space 2} .0174735{col 32}{space 2}  .078175{col 43}{space 1}    0.22{col 52}{space 3}0.823{col 60}{space 4}-.1357467{col 73}{space 3} .1706938
{txt}{space 6}Lln_cinc_2_m {c |}{col 20}{res}{space 2} .0935331{col 32}{space 2} .0606688{col 43}{space 1}    1.54{col 52}{space 3}0.123{col 60}{space 4}-.0253756{col 73}{space 3} .2124418
{txt}{space 4}Ldemocracy_2_m {c |}{col 20}{res}{space 2}-.0378037{col 32}{space 2} .0729341{col 43}{space 1}   -0.52{col 52}{space 3}0.604{col 60}{space 4}-.1807518{col 73}{space 3} .1051444
{txt}{space 16}t2 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t3 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t4 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t5 {c |}{col 20}{res}{space 2} .1298318{col 32}{space 2} .1116323{col 43}{space 1}    1.16{col 52}{space 3}0.245{col 60}{space 4}-.0889635{col 73}{space 3} .3486271
{txt}{space 16}t6 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t7 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t8 {c |}{col 20}{res}{space 2} .3740193{col 32}{space 2} .0317839{col 43}{space 1}   11.77{col 52}{space 3}0.000{col 60}{space 4} .3117239{col 73}{space 3} .4363146
{txt}{space 16}t9 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}t10 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}t11 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}t12 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 13}_cons {c |}{col 20}{res}{space 2}  2.98472{col 32}{space 2} .7260018{col 43}{space 1}    4.11{col 52}{space 3}0.000{col 60}{space 4} 1.561783{col 73}{space 3} 4.407658
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Random effects model
. xtnbreg dr_1_at_2_m malaria_2m_obsonly Lcid_per_trop_2_m Llog_trade_m Llog_gdppc_2_m Lln_cinc_2_m Ldemocracy_2_m Llog_distance_m t2 t3 t4 t5 t6 t7 t8 t9 t10 t11 t12, i(cowcode_2) 
{txt}note: t2 omitted because of collinearity
note: t3 omitted because of collinearity
note: t4 omitted because of collinearity
note: t6 omitted because of collinearity
note: t7 omitted because of collinearity
note: t9 omitted because of collinearity
note: t10 omitted because of collinearity
note: t11 omitted because of collinearity
note: t12 omitted because of collinearity

Fitting negative binomial (constant dispersion) model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1435.0924}  
Iteration 1:{space 3}log likelihood = {res:-1435.0832}  
Iteration 2:{space 3}log likelihood = {res:-1435.0832}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -2350.368}  
Iteration 1:{space 3}log likelihood = {res:-1844.7708}  
Iteration 2:{space 3}log likelihood = {res:-1742.9298}  
Iteration 3:{space 3}log likelihood = {res:-1542.0839}  
Iteration 4:{space 3}log likelihood = {res:-1541.7348}  
Iteration 5:{space 3}log likelihood = {res:-1541.7346}  
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1541.7346}  (not concave)
Iteration 1:{space 3}log likelihood = {res: -1440.941}  
Iteration 2:{space 3}log likelihood = {res:-1287.7764}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-1280.0205}  
Iteration 4:{space 3}log likelihood = {res:-1279.6623}  
Iteration 5:{space 3}log likelihood = {res: -1279.662}  
Iteration 6:{space 3}log likelihood = {res: -1279.662}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1477.1061}  
Iteration 1:{space 3}log likelihood = {res:-1428.5902}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-1302.2197}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-1283.6755}  
Iteration 4:{space 3}log likelihood = {res:-1280.2775}  
Iteration 5:{space 3}log likelihood = {res:-1277.8019}  
Iteration 6:{space 3}log likelihood = {res:-1277.7616}  
Iteration 7:{space 3}log likelihood = {res:-1277.7616}  
{res}
{txt}Random-effects negative binomial regression{col 49}Number of obs{col 67}={col 69}{res}       331
{txt}Group variable: {res}cowcode_2{col 49}{txt}Number of groups{col 67}={col 69}{res}       125

{txt}Random effects u_i ~ {res}Beta{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       2.6
{txt}{col 63}max{col 67}={col 69}{res}         3

{txt}{col 49}Wald chi2({res}9{txt}){col 67}={col 70}{res}  1156.81
{txt}Log likelihood  = {res}-1277.7616{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       dr_1_at_2_m{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
malaria_2m_obsonly {c |}{col 20}{res}{space 2}-.1489897{col 32}{space 2}  .071113{col 43}{space 1}   -2.10{col 52}{space 3}0.036{col 60}{space 4}-.2883687{col 73}{space 3}-.0096108
{txt}{space 1}Lcid_per_trop_2_m {c |}{col 20}{res}{space 2} .1664335{col 32}{space 2} .0627907{col 43}{space 1}    2.65{col 52}{space 3}0.008{col 60}{space 4} .0433661{col 73}{space 3}  .289501
{txt}{space 6}Llog_trade_m {c |}{col 20}{res}{space 2} .0007524{col 32}{space 2} .0001012{col 43}{space 1}    7.44{col 52}{space 3}0.000{col 60}{space 4} .0005541{col 73}{space 3} .0009507
{txt}{space 4}Llog_gdppc_2_m {c |}{col 20}{res}{space 2} .0389427{col 32}{space 2} .0272037{col 43}{space 1}    1.43{col 52}{space 3}0.152{col 60}{space 4}-.0143755{col 73}{space 3}  .092261
{txt}{space 6}Lln_cinc_2_m {c |}{col 20}{res}{space 2} .1210989{col 32}{space 2} .0173388{col 43}{space 1}    6.98{col 52}{space 3}0.000{col 60}{space 4} .0871155{col 73}{space 3} .1550824
{txt}{space 4}Ldemocracy_2_m {c |}{col 20}{res}{space 2}-.0626786{col 32}{space 2}  .044819{col 43}{space 1}   -1.40{col 52}{space 3}0.162{col 60}{space 4}-.1505222{col 73}{space 3} .0251649
{txt}{space 3}Llog_distance_m {c |}{col 20}{res}{space 2}-.2863115{col 32}{space 2} .0591471{col 43}{space 1}   -4.84{col 52}{space 3}0.000{col 60}{space 4}-.4022377{col 73}{space 3}-.1703854
{txt}{space 16}t2 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t3 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t4 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t5 {c |}{col 20}{res}{space 2}  .146077{col 32}{space 2} .0626352{col 43}{space 1}    2.33{col 52}{space 3}0.020{col 60}{space 4} .0233143{col 73}{space 3} .2688396
{txt}{space 16}t6 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t7 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}t8 {c |}{col 20}{res}{space 2} .3656674{col 32}{space 2} .0298263{col 43}{space 1}   12.26{col 52}{space 3}0.000{col 60}{space 4} .3072089{col 73}{space 3}  .424126
{txt}{space 16}t9 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}t10 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}t11 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}t12 {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 13}_cons {c |}{col 20}{res}{space 2} 5.106311{col 32}{space 2} .5770362{col 43}{space 1}    8.85{col 52}{space 3}0.000{col 60}{space 4} 3.975341{col 73}{space 3} 6.237281
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /ln_r {c |}{col 20}{res}{space 2} 5.098428{col 32}{space 2} .5310692{col 60}{space 4} 4.057551{col 73}{space 3} 6.139304
{txt}             /ln_s {c |}{col 20}{res}{space 2} 5.662382{col 32}{space 2} .6350701{col 60}{space 4} 4.417668{col 73}{space 3} 6.907097
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 r {c |}{col 20}{res}{space 2} 163.7643{col 32}{space 2} 86.97016{col 60}{space 4} 57.83253{col 73}{space 3} 463.7309
{txt}                 s {c |}{col 20}{res}{space 2} 287.8335{col 32}{space 2} 182.7945{col 60}{space 4} 82.90271{col 73}{space 3} 999.3418
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. pooled: {help j_chibar##|_new:chibar2(01) = }{res}3.80{col 56}{txt}Prob >= chibar2 = {res}0.026
{txt}
{com}. 
. *close log file
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Benjamin Bagozzi\Dropbox\International Environmental Politics\Diplomacy Malaria\Replication Files\Table_A19.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 7 Jan 2021, 11:09:34
{txt}{.-}
{smcl}
{txt}{sf}{ul off}